Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Paper • 2103.14030 • Published • 5
Model Card for Swin Base Multi Fractal 1k
Swin Transformer model pre-trained on Color Multi Fractal DB 1k (1 million images, 1k classes) at resolution 224x224 for 300 epochs, developed by ELAN MITSUA Project / Abstract Engine.
This model is trained exclusively on 1 million fractal images which relies solely on mathematical formulas, so no real images or pretrained models are used for this training.
Model Details
Model Description
The Swin Transformer is a type of Vision Transformer and can be utilized for various downstream tasks. It was introduced in the paper Swin Transformer: Hierarchical Vision Transformer using Shifted Windows by Liu et al. and first released in this repository.
- Developed by: ELAN MITSUA Project / Abstract Engine
- Model type: Image Classification
- License: CC BY 4.0
Training Details
Training Data
- Color Multi Fractal DB 1k / CC BY 4.0
- Curated by: ELAN MITSUA Project / Abstract Engine
- Paper: Improving Fractal Pre-training by Connor Anderson and Ryan Farrell
- Code : Multi-Fractal-Dataset by FYSignate1009
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